Table 3

Results of multivariate logistic regression models to assess predictors of mortality for patients with COVID-19 with solid tumors

VariablesFull modelSimplified model
OR (95% CI)P valueOR (95% CI)P value
Age, years1.09 (1.00 to 1.19)0.0601.08 (1.00 to 1.16)0.043
Sex
 Male vs female0.38 (0.06 to 2.32)0.292
Cancer type
 Breast, gynecologic, head and neck cancerRef
 Gastrointestinal cancer5.84 (0.43 to 80.06)0.187
 Lung cancer2.37 (0.21 to 27.33)0.490
 Urogenital cancer3.80 (0.20 to 72.67)0.375
Cancer stage1.55 (0.70 to 3.45)0.2801.68 (0.79 to 3.56)0.176
Receipt of antitumor treatment40.83 (4.14 to 403.20)0.00128.65 (3.54 to 231.97)0.002
WBC count
 ≥6.93 vs <6.93 ×109/L27.19 (2.99 to 247.00)0.00314.52 (2.45 to 86.14)0.003
Lymphocyte count
 ≤0.70 vs >0.70 ×109/L2.38 (0.30 to 18.95)0.413
NLR
 ≥7.05 vs <7.050.28 (0.01 to 5.48)0.398
dNLR
 ≥4.19 vs <4.1933.37 (1.56 to 714.58)0.02518.99 (3.58 to 100.65)0.001
COPD0.78 (0.09 to 6.38)0.814
Dyspnea33.46 (3.71 to 301.73)0.00220.38 (3.55 to 117.02)0.001
Fatigue1.12 (0.18 to 7.18)0.901
  • The sample size for fitting the full model and simplified model was 156.

  • COPD, chronic obstructive pulmonary disease; dNLR, derived NLR; NLR, neutrophil-to-lymphocyte ratio; WBC, peripheral white blood cell.